Many valued context for knowledge evaluation

Authors:
Sylvia Encheva
Affiliations:
Stord/Haugesund University College, Faculty of Technology, Business and Maritime Sciences, Haugesund, Norway
Venue:
BICA'12 Proceedings of the 5th WSEAS congress on Applied Computing conference, and Proceedings of the 1st international conference on Biologically Inspired Computation
Year:
2012

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Abstract

In this paper we illustrate application of many valued context in the area of knowledge evaluation. While the classical binary approach clearly indicates relationships among objects and attributes it still does not provide any information on the degrees to which an object possesses an attribute. Many valued contexts allow inclusion of more detailed description on such dependences.